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ICML
2008
IEEE
16 years 7 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang
165
Voted
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 11 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
ICB
2007
Springer
238views Biometrics» more  ICB 2007»
15 years 10 months ago
Keypoint Identification and Feature-Based 3D Face Recognition
We present a feature-based 3D face recognition algorithm and propose a keypoint identification technique which is repeatable and identifies keypoints where shape variation is high ...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
190
Voted
DAGM
2008
Springer
15 years 8 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
TCSV
2010
15 years 25 days ago
Face and Human Gait Recognition Using Image-to-Class Distance
We propose a new distance measure for face recognition and human gait recognition. Each probe image (a face image or an average human silhouette image) is represented as a set of ...
Yi Huang, Dong Xu, Tat-Jen Cham